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Field
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in
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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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simulations (LAMMPS, GROMACS). • Strong background in statistical mechanics and Python scripting (PyTorch/JAX for ML applications). • Ability to independently design and execute research projects, with a track
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Navigation. Strong research background in path planning, motion planning, and multi-robots coordination in complex environments. Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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, or healthcare applications is highly desirable. Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C